Commit Offshore

As an Algorithm Developer you ’ll design, implement, and optimize cutting-edge machine learning and computer vision algorithms, crafting solutions that empower farmers with real-time, actionable insights for enhanced livestock management.

What You'll Do

● Develop Real Time Animal Tracking with presentation of additional information layers 

● Develop and implement end-to-end solutions using the latest in machine learning and computer vision. 

● Craft deep learning models using Python, with frameworks like PyTorch, TensorFlow, or Keras. 

● Dene and manage data collection and annotation processes, ensuring robust training and validation of our models. 

● Work with talented cross-functional teams to seamlessly integrate your algorithms into FarmSee’s advanced monitoring systems. 

● Keep your finger on the pulse of the latest advancements in computer vision and machine learning, bringing innovative ideas into our solutions.

What You Need 

● Bachelor's degree in Computer Science, Electrical Engineering, or equivalent. 

● Minimum of 5 years of hands-on experience in Computer Vision, Machine and Deep Learning. 

● Excellent understanding of Data Science concepts and methodologies. 

● Solid understanding of classic image processing and computer vision methods. 

● Proficiency in Python and experience with popular deep learning frameworks (PyTorch, TensorFlow, Keras). 

● Ability to work independently with minimal supervision.

● Demonstrates a strong sense of accountability for tasks and outcomes. 

● Ability to write high quality code in Python, including proficiency in object-oriented programming (OOP), design patterns, and software development best practices. 

● Excellent communication and interpersonal skills, fostering effective collaboration with team members.

Be a part of the next AI-powered development tools redefining software engineering.Collaborate with top-tier engineers and AI specialists.Solve complex challenges in a fast-paced, growing company.Enjoy a fun work environment, and exciting opportunities as we rapidly expand.Gain exposure to cutting-edge tech while we expand weekly!
 

Responsibilities:

You’ll play a key role in designing and developing software, balancing backend and frontend development. Responsibilities include architecting scalable backend services, optimizing cloud-based solutions, and building interactive UI components and IDE plugins. Solve challenges like parsing large codebases, integrating AI assistants, and optimizing performance.
 

Preferred Qualifications:

-5+ years in full-stack engineering, with strong backend and frontend experience.

-Startup experience is a must.

-Strong experience with cloud architectures and AWS services.

-Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi.
-Deep expertise in React, TypeScript, and modern frontend architectures.

-Experience working with CI/CD pipelines, automated testing, and modern development workflows.
 

Advantage: Experience with Python.

As a Principal Backend Engineer, you will be a technical cornerstone for our partner's engineering team. This is a hands-on role with a broad impact, where you will help guide architectural decisions, mentor other engineers, and steer the technical strategy for our core products. You will be ensuring our platform can meet ambitious future demands for scale and performance while maintaining the highest standards of quality and security.

You won't just be writing code; you'll help shape the technical vision alongside our engineering leadership team, ensuring we build the right things, the right way.
 

• Architect & Design: Lead the design and architecture of major components of our distributed, cloud-native platform, ensuring solutions are scalable, resilient, and maintainable.
• Technical Strategy: Partner with engineering leaders to define and execute the long-term technical roadmap, anticipating future needs and challenges.
• Solve Complex Problems: Tackle our most challenging technical problems, particularly around performance, scalability, operations and data processing within our high-throughput systems.
• Mentor & Lead: Act as a technical mentor and force-multiplier for the engineering team. Elevate the skills of those around you through code reviews, design discussions, and knowledge sharing.
• Drive Best Practices: Champion engineering excellence across the organization by establishing and advocating for best practices in coding, testing, security, and cloud architecture.
• Hands-On Development: Remain hands-on, contributing high-quality code for critical path features and complex infrastructure components.
   

Requirements

The Core Skills:

• Extensive experience in software engineering in a commercial environment (minimum of 10 years), with a proven track record of designing and delivering complex, large-scale distributed systems in a high growth environment.
• Deep expertise in Java and modern frameworks like Spring Boot.
• Strong proficiency with relational databases, including PostgreSQL and/or MSSQL, with a solid understanding of data modelling and query optimization.
• Hands-on experience with message brokers and event-driven architectures, specifically with Apache Kafka.
• Comprehensive knowledge of cloud platforms, with a strong preference for AWS. You should be comfortable with core services like ECS/Fargate, S3, and RDS.
• A strategic mindset with the ability to think abstractly and translate business requirements into a robust technical vision.
• Good communication and leadership skills, with a demonstrated ability to influence and mentor other engineers.

Role Overview:

We are looking for a Senior Automation Backend Engineer to join our team in Poland. This role is heavily focused on API testing (85%) with UI testing (15%) and requires strong expertise in Python and test automation. You will be responsible for designing, developing, and maintaining automation frameworks while ensuring the scalability and efficiency of our testing infrastructure.

Key Responsibilities:

Automation Strategy & Test Framework Development:

• Design and implement an automation testing strategy from scratch.
• Develop, enhance, and maintain test automation frameworks for API and UI testing.
• Ensure scalability and reusability of automation solutions across multiple projects.

Test Development & Execution:

• API Testing: Develop automated API tests using Python (must) and Request Module package.
• UI Testing: Build and maintain UI test cases using Playwright.
• Create and execute automated test scripts to validate functionality, performance, and security.
• Work with Jenkins for CI/CD automation and integrate tests into pipelines.

Continuous Integration & Deployment:

• Integrate test automation into the CI/CD pipelines, ensuring robust test coverage and automated reporting.
• Work closely with DevOps to manage test execution environments using Docker, Kubernetes.

Collaboration & Documentation:

• Writing test strategy and test plans
• Work cross-functionally with developers, QA, and DevOps teams to optimize the test process.
• Use Jira for documentation, task tracking, and bug reporting.
• Manage test cases in Xray (optional).
• Analyze logs and debug test failures in staging and production environments.

Required Qualifications & Experience:

✅ Must-Have:

• 5+ years of experience in test automation or a related role.
• Strong programming skills in Python (mandatory).
• Experience in writing tests documentation such as: design documents, test strategies and test plans.
• Extensive experience (85%) in API testing using Request Module.
• UI testing experience (15%) using Playwright.
• Hands-on experience with postman
• Hands-on experience with CI/CD pipelines (Jenkins preferred).
• Experience working with Docker & Kubernetes for test automation.
• Strong analytical and problem-solving skills.
• Experience with Jira for task and bug management.
• Task-oriented, independent, and proactive mindset.

✅ Nice to Have:

• Kafka experience (optional).
• Experience with Xray for test management (optional).
• Experience in AWS cloud services

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

We seek a Senior C++ Engineer who is passionate about technology, performance, and scalability. The ideal candidate has extensive experience in a multitenant environment, handling high-scale distributed systems, and managing a large number of transactions per second. You will lead end-to-end performance improvements, from architecture to production, including design, configuration, coding, and deployment.

Responsibilities:

• Design and implement solutions to evaluate and enhance performance and scalability.
• Utilize monitoring and performance testing tools to diagnose, improve, and resolve performance issues
• Advocate for coding standards and best practices, providing guidance and mentorship to other software engineers
• Optimize and refactor existing system to improve performance and maintainability
• Debug and solve complex issues across various layers of the application, ensuring robustness and reliability of the system
• Develop and implement new features to enhance our products

• Server-side development, legacy code

   

Requirements:

• 4-5+ years of experience in C/C++ development, with a proven track record of delivering high-quality, scalable software solutions and a deep understanding of the language's strengths and weaknesses
• Experience with GoLang - 6 months
• Experience with cloud services, kubernetes, docker
• Experience in designing, developing, and maintaining back-end distributed systems, including architectures, data models, and communication protocols
• Proficiency in SQL, including complex queries and query optimization
• Strong problem-solving skills and the ability to identify and resolve software performance issues, including profiling, code analysis, and performance tuning
• Excitement for tackling performance optimization and refactoring of existing system
• Excellent debugging skills in complex systems, with experience using various tools such as debuggers, profilers, and log analysis tools
• Familiarity with various performance testing tools and writing unit tests
• Exceptional communication skills, with the ability to collaborate effectively and present complex concepts
• Proactive and self-motivated, with the ability to work both independently and as part of a team, prioritizing tasks effectively and meeting deadlines
• Proficient in English, with excellent written and verbal communication skills
• Someone open to new technologies, AI tools, to be up to date with recent trendy technologies.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

We’re looking for a Junior Full Stack Engineer to run the product across diverse inputs and provide structured technical feedback to help our AI team improve it.

What You’ll Do

• Run Magician on real-world design scenarios.
• Review and critique generated React/TypeScript code for readability, correctness, and maintainability.
• Document issues, identify patterns, and highlight strong outputs.
• Share structured insights with the AI team to guide improvements.
• Collaborate with product and engineering teams to refine testing and evaluation processes.

What We’re Looking For

• Strong foundation in React and modern frontend practices (TypeScript, CSS, component-driven development).
• Ability to evaluate not just bugs, but also design and architectural quality in code.
• Detail-oriented, curious, and excited about AI-driven developer tools.
• 0–3 years of experience (new graduates welcome!).

Bonus Points

• Familiarity with Figma or design-to-code workflows.
• Exposure to LLMs or AI-assisted development.

Company building the future of industrial automation. Physical AI platform enables seamless programming of robots, controllers, and sensors, replacing hundreds of lines of code with a single command. As a core engineer, you’ll have the opportunity to shape both the product and the culture while working on challenges at the intersection of AI, robotics, and scalable cloud software.

What You'll Do:

• Design and develop core infrastructure for a complex, real-time industrial automation platform

• Take end-to-end ownership of features from conception to deployment

• Have direct impact on product direction and technical decisions as an early team member

• Build robust, scalable solutions that will power thousands of production lines

Required Experience:

• 5+ years of hands-on software engineering experience

• Full-stack proficiency with JavaScript/TypeScript (Next.js) and Python

• Experience in fast-paced, dynamic environments preferred

• Daily use of AI tools (ChatGPT, Claude, Copilot) to accelerate development

Technical Skills We Value

Backend:

• FastAPI, WebSockets, Python async programming

• PostgreSQL, Redis, and workflow orchestration systems

• Real-time event systems (SSE) and message queuing — very important to have

Frontend:

• React/TypeScript with real-time data streaming

• Experience with real-time visualization and state management

Infrastructure:

• Docker containerization and microservices architecture

• Experience with scalable, distributed systems

We are waiting for your CV!

About the Role

We’re seeking a Team Lead – Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader—capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.

You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.

Key Responsibilities

• Leadership & Team Management
  • Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
  • Define and enforce coding standards, architectural patterns, and best practices.
  • Collaborate with stakeholders to translate business needs into AI-driven solutions.
  • Manage project timelines, technical risks, and team deliverables.
  • Generative AI & Prompt Engineering
    • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
    • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
    • Implement safeguards (guardrails, structured output validation, injection protection).
  • Architecture & Backend Development
    • Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
    • Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
    • Drive observability: tracing, logging, monitoring for LLM-powered systems.

  • Evaluation & Optimization

    • Benchmark and evaluate LLMs using custom datasets and automated testing.
    • Oversee system reliability, performance tuning, caching, and optimization.
    • Ensure solutions meet enterprise-grade standards for security and scalability.

     

    Required Skills & Qualifications

  • 5+ years of professional experience in Machine Learning / AI engineering.
  • 1–2+ years hands-on experience in Generative AI application development.
  • Proven leadership or team lead experience (mentoring, managing, or leading AI/ML engineers).
  • Strong backend engineering skills in .NET (C#), SQL, and Python.
  • Solid knowledge of LLM providers (OpenAI, Anthropic, etc.) and prompt engineering techniques.
  • Experience with RAG pipelines, AI workflows, and productionizing LLM systems.
  • Hands-on with Docker, Kubernetes, REST APIs, and Azure (AKS, ACR, containerized deployments).
  • Excellent communication skills (English, written and spoken).
  • Preferred / Nice-to-Have
  • Azure AI ecosystem: OpenAI, PromptFlow, Azure ML, AI Services.
  • Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
  • Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.)
  • Prompt caching, compression, and output validation strategies.
  • Redis caching for performance optimization.
  • Frontend experience with React and Next.js.

Position Overview We are seeking an experienced Automation QA (AQA) Tech Lead with strong management and technical leadership skills. The ideal candidate will have hands-on expertise in test automation frameworks, deep knowledge of Python, Playwright, GitHub Copilot, and the ability to set up automation environments from scratch (0 → production). You will be responsible for designing QA automation architecture, mentoring engineers, and ensuring high-quality delivery standards across projects. 

Key Responsibilities Technical Leadership 

• Lead the design, development, and implementation of test automation frameworks (Playwright). 

• Set up and maintain CI/CD pipelines for automation testing from scratch. 

• Leverage GitHub Copilot and AI-assisted tools to accelerate automation and development productivity. 

• Define and enforce automation best practices, coding standards, and test strategies. 

• Build and manage test environments ensuring scalability, reliability, and maintainability. Management & Mentorship 

• Act as a Tech Lead for the QA automation team, providing technical guidance and coaching. 

• Manage and mentor AQA engineers, fostering a culture of collaboration and continuous learning. 

• Drive roadmap planning, prioritization, and delivery of automation initiatives. 

• Collaborate with cross-functional teams (Developers, DevOps, Product, Manual QA) to align QA strategy with business goals.

Architecture & Strategy 

• Own the automation architecture and define a long-term vision for automated testing. 

• Ensure automation integrates seamlessly with development and release cycles. 

• Provide technical direction in evaluating new tools, frameworks, and technologies. 

Qualifications 

• Minimum 1 year of proven experience as a QA Automation Tech Lead or similar leadership role. 

• Strong hands-on expertise with Playwright.

• Experience in setting up automation frameworks from scratch. 

• Solid understanding of automation architecture and test design patterns. 

• Familiarity with GitHub Copilot or other AI-assisted development/testing tools. 

• Strong programming skills in Python. 

• Experience with CI/CD pipelines, cloud environments, and test management tools. 

• Excellent problem-solving, organizational, and communication skills. 

• Proven experience managing or mentoring engineers in a QA automation environment.

About the Role

We are seeking an experienced DevOps Engineer (6+ years) with deep expertise in cloud infrastructure, container orchestration, automation, and MLOps.

You will play a key role in building and scaling cloud-native platforms while supporting ML/AI workloads, including large language models (LLMs) such as OpenAI and Claude.

This position requires close collaboration with engineering and data science teams to ensure secure deployments, efficient CI/CD workflows, and optimized cloud resource management across AWS (primary), with additional workloads on Azure and GCP.

Key Responsibilities

• Cloud Infrastructure: Design, implement, and manage multi-cloud environments using Terraform and Helm charts.
• Kubernetes: Deploy, configure, and maintain clusters (EKS, AKS, GKE) with GitOps workflows via ArgoCD.
• Containers: Build, secure, and optimize Docker workflows, including GPU-enabled images (CUDA, Nvidia drivers) for ML/AI workloads.
• CI/CD Pipelines: Develop and optimize pipelines using Azure DevOps (primary) and GitHub Actions; integrate GitOps practices with ArgoCD.
• MLOps: Support workflows for deploying and scaling LLMs (OpenAI, Claude, or similar) and integrating ML models into production.
• Monitoring & Reliability: Implement monitoring, logging, and alerting systems (Prometheus, Grafana, ELK).
• Collaboration: Partner with developers and data scientists to deliver secure, scalable, and reliable deployments.
• Required Skills & Experience
• 6+ years as a DevOps / Cloud Engineer.
• Strong AWS expertise: EKS, ECR, managed services
• Production-grade Kubernetes with Helm charts, Karpenter, and ArgoCD.
• Advanced Terraform for complex environments.
• Proven CI/CD experience: Azure DevOps pipelines (primary) and GitHub Actions.
• Deep knowledge of Docker, secure builds, and performance optimization.
• Familiarity with Nvidia GPU driver integration and ML/AI container optimization.
• Hands-on MLOps: ML model deployment and scaling LLMs.

We are seeking a highly skilled and experienced Software Architect to lead the design and development of robust, scalable systems. The ideal candidate will have deep expertise in AWS, modern backend technologies, domain-driven design (DDD), and architectural patterns including distributed monolith and microservices. This role requires both technical leadership and the ability to engage with customers during pre-sale phases, helping shape innovative solutions across IoT, data, and enterprise SaaS platforms.

Key Responsibilities:

• Lead the architecture and design of secure, scalable, and high-performance systems across cloud and on-prem environments
• Design modern solutions using Distributed Monolith and Domain-Driven Design (DDD) principles
• Work hands-on with engineering teams implementing systems using Python (Django, FastAPI) and Node.js (NestJS, Express, and others)
• Architect and oversee IoT platforms, data ETL pipelines, and complex event-driven systems
• Drive modernization initiatives, guiding transitions from monoliths and legacy platforms to scalable and maintainable architectures
• Collaborate with pre-sales and delivery teams to define technical solutions and present architecture to clients
• Define and promote architectural standards, documentation, and design patterns within engineering teams

• Mentor developers and review designs to ensure adherence to best practices

   

Required Skills & Experience:

• Proven experience as a Software Architect or similar senior engineering role
• Strong hands-on expertise in AWS (IoT Core, Lambda, EKS, S3, API Gateway, CloudFormation, etc.)
• Proficiency in Python (Django, FastAPI) and Node.js (NestJS, Express, etc.)
• Deep experience with IoT solutions, data pipelines, and ETL processing
• Proven experience in building SaaS solutions for external customers
• Experience leveraging AI tools to optimize system performance and improve resource utilization
• Strong background in Domain-Driven Design (DDD) and Distributed Monolith Architecture
• Experience designing cloud-native and hybrid solutions for high scale and availability
• Expertise in modernizing legacy systems to align with current technologies and architectures
• Strong customer-facing and presale experience
• Excellent communication skills in English

• Flexible to work across time zones, including collaboration with US-based teams

   

Nice to Have:

• Experience with GCP and Azure cloud services
• Proficiency in .NET Core and related web frameworks

What We’re Building 

We are redefining the enterprise software experience—where security, usability, and enterprise control coexist seamlessly. By embedding core security and IT needs directly into the products, we empower organizations with complete control while delivering the familiar, smooth experience users expect. Our customers include some of the world’s top companies, and we’re now tackling an even bigger challenge: creating the ultimate secure workspace for the modern enterprise. 

Why Join Us? 

• Collaborate with Brilliant Engineers: Work with professionals who value clean architecture, maintainable code, and long-term scalability. 

• Innovate with Modern Cloud Technologies: Focus on performance, resilience, and security at scale. 

• Commit to Quality: Build testable, high-quality software in an environment that prizes automation and best practices. 

• Solve Complex Challenges: Tackle problems at the intersection of security, infrastructure, and user experience. 

• Hybrid Work Environment: Enjoy the best of both worlds with our flexible, hybrid model based in a vibrant office in the Warsaw city center. If you're excited by the idea of shaping the future of enterprise work—where security and productivity go hand in hand—we’d love to hear from you. 

Requirements Core Engineering Expertise 

• Deep understanding of software engineering fundamentals including test automation, dependency injection, software architecture, and SOLID principles. 

• Ability to master and apply key engineering concepts regardless of programming language. 

Experience • 

Minimum of 7 years delivering robust, scalable software in complex environments. 

• Previous tenure in one or two startups working at high pace, developing significant products at scale. 

• Proven track record in leading features and projects end-to-end. 

• Experience mentoring junior engineers and leading by example in collaborative team settings. 

• Strong analytical skills to break down complex problems and architect effective, efficient solutions. 

• Comfortable with evolving technologies and agile development practices. 

Technologies 

• Hands-on experience with .NET Core, React, and TypeScript (mandatory). 

Background 

• Strong preference for candidates with experience in well-regarded software companies that provide solutions to startups (especially in Poland), or other organizations building complex, large-scale products. • Candidates coming from recognized and reputable startups/companies in the market. 

Personal Qualities • High motivation and eagerness to develop and learn continuously. 

• Must hold a valid work visa.

Join a global leader shaping the future of autonomous AI agents for developers. We’re an international, fast-growing company building AI-powered tools that transform coding workflows, automate repetitive tasks, and boost developer productivity worldwide.

About the Role:

As a Senior Full-Stack Engineer, you’ll work across the stack to design scalable backend systems, build high-performance UIs, and integrate AI assistants into modern development workflows. You’ll tackle challenges like parsing massive codebases, building intelligent automation, and optimizing cloud infrastructure at scale.

Tech Stack:

React, TypeScript, Python, Node.js, Postgres, Redis, AWS (extensive use of managed services)

Responsibilities:

• Architect and implement scalable backend services and APIs.
• Build intuitive, performant frontend components and IDE integrations.
• Collaborate with AI engineers to integrate intelligent automation.
• Optimize performance, reliability, and developer experience across systems.

Requirements:

• 5+ years of full-stack development experience.
• Expert in React and TypeScript with modern frontend architecture skills.
• Hands-on AWS experience and strong backend skills in Python or Node.js.

Nice to Have:

• Familiarity with AI-powered dev tools, CI/CD pipelines, and IaC (Terraform or Pulumi).

Why Join Us:

• Be part of a global company redefining how software is built with AI.
• Collaborate with top engineers and AI specialists worldwide.
• Solve cutting-edge challenges in a fast-paced, innovative environment.
• Enjoy a fun, international culture with endless opportunities for growth and impact.
• Full remote position.